Privacy

SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud ACML 2018 Smooth Sensitivity Based Approach for Differentially Private PCA ALT 2018 Tamper-Proof Privacy Auditing for Artificial Intelligence Systems IJCAI 2018 TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service ICML 2018 The Hidden Vulnerability of Distributed Learning in Byzantium ICML 2018 The Price of Privacy for Low-rank Factorization NeurIPS 2018 Towards Robust and Privacy-preserving Text Representations ACL 2018 Towards Understanding ECG Rhythm Classification Using Convolutional Neural Networks and Attention Mappings MLHC 2018 Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise NeurIPS 2018 VoiceGuard: Secure and Private Speech Processing Interspeech 2018 Accuracy First: Selecting a Differential Privacy Level for Accuracy Constrained ERM NeurIPS 2017 A Group-Based Personalized Model for Image Privacy Classification and Labeling IJCAI 2017 A New Class of Private Chi-Square Hypothesis Tests AISTATS 2017 Certified Defenses for Data Poisoning Attacks NeurIPS 2017 Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible ICML 2017 Collecting Telemetry Data Privately NeurIPS 2017 Context-Based Reasoning on Privacy in Internet of Things IJCAI 2017 Deanonymization in the Bitcoin P2P Network NeurIPS 2017 Decentralized Collaborative Learning of Personalized Models over Networks AISTATS 2017 Deletion-Robust Submodular Maximization: Data Summarization with “the Right to be Forgotten” ICML 2017 Differentially private Bayesian learning on distributed data NeurIPS 2017 Differentially Private Chi-squared Test by Unit Circle Mechanism ICML 2017 Differentially Private Clustering in High-Dimensional Euclidean Spaces ICML 2017 Differentially Private Empirical Risk Minimization Revisited: Faster and More General NeurIPS 2017 Differentially Private Learning of Undirected Graphical Models Using Collective Graphical Models ICML 2017